TU/e

Articles, guides, and products tagged "TU/e" — a combined view of every catalogue resource on this topic.

User guide

Riding an e-scooter in wind: headwind / tailwind / crosswind / gusts — aerodynamic drag, range loss, lateral stability, route planning, Beaufort scale

Wind, for an e-scooter rider, is not a «secondary nuisance» but a separate physical axis that simultaneously hits five parameters: aerodynamic drag (P_drag = ½ρv³CdA, with ρ = 1.225 kg/m³ per ISA at sea level, and an e-scooter rider's standing-pose CdA ≈ 0.5–0.7 m² — close to the upright-cyclist values reported by Wilson «Bicycling Science» and Martin et al. 1998), range (a 5 m/s headwind at 25 km/h ground speed yields effective_v_air ≈ 32 km/h, equivalent to ~2 % gradient by the power formula, costing +20–30 % Wh/km), stopping distance (the vector sum of apparent_v with ground_v shifts effective speed entering a sharp corner with tailwind), lateral stability (lateral force F_y = ½ρv²A_side can reach ~2.5× the drag force per «Fighting crosswinds in cycling», a level that on bridges and in gaps between buildings — Venturi effect — becomes critical for 8–12-inch wheels with a short wheelbase), and gust response (transient lateral force with a 1–2 s rise time demands preemptive body posture). The wind discipline thus covers: drag-formula physics and CdA, behaviour in headwind / tailwind / crosswind / gusts, route planning around bridges / exposed stretches / coast, body posture (tucked vs upright tradeoff), gear choice (jacket flap, helmet visor) and a practical Beaufort table (Bft 0–8) with recommendations on when to ride, when to drop speed and when to dismount. ENG-first sources: Wilson «Bicycling Science», Martin et al. (1998) cycling power model, Bert Blocken (TU/e + KU Leuven) CFD studies on cyclist pose, UK Met Office and Royal Meteorological Society Beaufort scale, Fighting crosswinds in cycling (ScienceDirect), MIT urban canyon physics, BestBikeSplit / AeroX / Science4Performance CdA reference values, marsantsx / NAVEE / Apollo / Levy e-scooter range data.

13 min read